Patricia Reynaud-Bouret

According to our database, Patricia Reynaud-Bouret authored at least 18 papers between 2012 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

CHANI: Correlation-based Hawkes Aggregation of Neurons with bio-Inspiration.

Sophie Jaffard, Samuel Vaiter, Patricia Reynaud-Bouret

J. Mach. Learn. Res., 2026

2025

Spiking Neural Models for Decision-Making Tasks with Learning.

Sophie Jaffard, Giulia Mezzadri, Patricia Reynaud-Bouret, Etienne Tanré

CoRR, June, 2025

Model selection for behavioral learning data and applications to contextual bandits.

Julien Aubert, Louis Köhler, Luc Lehéricy, Giulia Mezzadri, Patricia Reynaud-Bouret

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Provable local learning rule by expert aggregation for a Hawkes network.

Sophie Jaffard, Samuel Vaiter, Alexandre Muzy, Patricia Reynaud-Bouret

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Kalikow decomposition for counting processes with stochastic intensity and application to simulation algorithms.

Tien Cuong Phi, Eva Löcherbach, Patricia Reynaud-Bouret

J. Appl. Probab., December, 2023

Efficient Simulation of Sparse Graphs of Point Processes.

Cyrille Mascart, David R. C. Hill, Alexandre Muzy, Patricia Reynaud-Bouret

ACM Trans. Model. Comput. Simul., 2023

On the convergence of the MLE as an estimator of the learning rate in the Exp3 algorithm.

Julien Aubert, Luc Lehéricy, Patricia Reynaud-Bouret

Proceedings of the International Conference on Machine Learning, 2023

2022

Scalability of Large Neural Network Simulations via Activity Tracking With Time Asynchrony and Procedural Connectivity.

Cyrille Mascart, Gilles Scarella, Patricia Reynaud-Bouret, Alexandre Muzy

Neural Comput., 2022

2020

Event-Scheduling Algorithms with Kalikow Decomposition for Simulating Potentially Infinite Neuronal Networks.

Tien Cuong Phi, Alexandre Muzy, Patricia Reynaud-Bouret

SN Comput. Sci., 2020

2019

A Data-Dependent Weighted LASSO Under Poisson Noise.

Xin Jiang Hunt, Patricia Reynaud-Bouret, Vincent Rivoirard, Laure Sansonnet, Rebecca Willett

IEEE Trans. Inf. Theory, 2019

Large scale Lasso with windowed active set for convolutional spike sorting.

Laurent Dragoni, Rémi Flamary, Karim Lounici, Patricia Reynaud-Bouret

CoRR, 2019

2016

Surrogate Data Methods Based on a Shuffling of the Trials for Synchrony Detection: The Centering Issue.

Mélisande Albert, Yann Bouret, Magalie Fromont, Patricia Reynaud-Bouret

Neural Comput., 2016

Genomic transcription regulatory element location analysis via poisson weighted lasso.

Xin Jiang Hunt, Patricia Reynaud-Bouret, Vincent Rivoirard, Laure Sansonnet, Rebecca Willett

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

2015

Microscopic approach of a time elapsed neural model.

Julien Chevallier, María J. Cáceres, Marie Doumic, Patricia Reynaud-Bouret

CoRR, 2015

2014

Multiple Tests Based on a Gaussian Approximation of the Unitary Events Method with Delayed Coincidence Count.

Christine Tuleau-Malot, Amel Rouis, Franck Grammont, Patricia Reynaud-Bouret

Neural Comput., 2014

2013

Inference of functional connectivity in Neurosciences via Hawkes processes.

Patricia Reynaud-Bouret, Vincent Rivoirard, Christine Tuleau-Malot

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012

Nonparametric Estimation of the Division Rate of a Size-Structured Population.

Marie Doumic, M. Hoffmann, Patricia Reynaud-Bouret, Vincent Rivoirard

SIAM J. Numer. Anal., 2012

Kernels Based Tests with Non-asymptotic Bootstrap Approaches for Two-sample Problems.

Magalie Fromont, Béatrice Laurent, Matthieu Lerasle, Patricia Reynaud-Bouret

Proceedings of the COLT 2012, 2012